Overview

Dataset statistics

Number of variables20
Number of observations399
Missing cells0
Missing cells (%)0.0%
Duplicate rows172
Duplicate rows (%)43.1%
Total size in memory62.5 KiB
Average record size in memory160.3 B

Variable types

NUM17
BOOL2
CAT1

Reproduction

Analysis started2020-08-25 01:11:50.984905
Analysis finished2020-08-25 01:12:34.898764
Duration43.91 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Dataset has 172 (43.1%) duplicate rows Duplicates
Feature08 has 22 (5.5%) zeros Zeros
Feature09 has 40 (10.0%) zeros Zeros
Feature00 has 23 (5.8%) zeros Zeros
Feature13 has 4 (1.0%) zeros Zeros
Feature11 has 11 (2.8%) zeros Zeros
Feature01 has 12 (3.0%) zeros Zeros
Feature02 has 15 (3.8%) zeros Zeros

Variables

Feature29
Real number (ℝ≥0)

Distinct count9
Unique (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.112781954887218
Minimum0
Maximum8
Zeros1
Zeros (%)0.3%
Memory size3.2 KiB
2020-08-25T01:12:34.942740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q16
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.239959486
Coefficient of variation (CV)0.1743283422
Kurtosis7.097352756
Mean7.112781955
Median Absolute Deviation (MAD)0
Skewness-2.186364251
Sum2838
Variance1.537499528
2020-08-25T01:12:35.075840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
820651.6%
 
79223.1%
 
67117.8%
 
5194.8%
 
341.0%
 
130.8%
 
420.5%
 
210.3%
 
010.3%
 
ValueCountFrequency (%) 
010.3%
 
130.8%
 
210.3%
 
341.0%
 
420.5%
 
5194.8%
 
67117.8%
 
79223.1%
 
820651.6%
 
ValueCountFrequency (%) 
820651.6%
 
79223.1%
 
67117.8%
 
5194.8%
 
420.5%
 
341.0%
 
210.3%
 
130.8%
 
010.3%
 

Feature15
Real number (ℝ≥0)

Distinct count7
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.924812030075188
Minimum0
Maximum6
Zeros1
Zeros (%)0.3%
Memory size3.2 KiB
2020-08-25T01:12:35.202011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median5
Q36
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.155872444
Coefficient of variation (CV)0.2347038704
Kurtosis0.6299481499
Mean4.92481203
Median Absolute Deviation (MAD)1
Skewness-0.9122558497
Sum1965
Variance1.336041108
2020-08-25T01:12:35.319150image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
617443.6%
 
411127.8%
 
57619.0%
 
3266.5%
 
282.0%
 
130.8%
 
010.3%
 
ValueCountFrequency (%) 
010.3%
 
130.8%
 
282.0%
 
3266.5%
 
411127.8%
 
57619.0%
 
617443.6%
 
ValueCountFrequency (%) 
617443.6%
 
57619.0%
 
411127.8%
 
3266.5%
 
282.0%
 
130.8%
 
010.3%
 

Feature24
Boolean

Distinct count2
Unique (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
0
219
1
180
ValueCountFrequency (%) 
021954.9%
 
118045.1%
 

Feature17
Real number (ℝ≥0)

Distinct count7
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3959899749373434
Minimum0
Maximum6
Zeros1
Zeros (%)0.3%
Memory size3.2 KiB
2020-08-25T01:12:35.442062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.743209066
Coefficient of variation (CV)0.3965452779
Kurtosis-1.044393475
Mean4.395989975
Median Absolute Deviation (MAD)1
Skewness-0.6156883006
Sum1754
Variance3.038777849
2020-08-25T01:12:35.560382image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
617443.6%
 
36716.8%
 
55513.8%
 
24210.5%
 
4307.5%
 
1307.5%
 
010.3%
 
ValueCountFrequency (%) 
010.3%
 
1307.5%
 
24210.5%
 
36716.8%
 
4307.5%
 
55513.8%
 
617443.6%
 
ValueCountFrequency (%) 
617443.6%
 
55513.8%
 
4307.5%
 
36716.8%
 
24210.5%
 
1307.5%
 
010.3%
 

Feature08
Real number (ℝ≥0)

ZEROS

Distinct count9
Unique (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.067669172932331
Minimum0
Maximum8
Zeros22
Zeros (%)5.5%
Memory size3.2 KiB
2020-08-25T01:12:35.679836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median8
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.404546015
Coefficient of variation (CV)0.3962882528
Kurtosis0.08584251459
Mean6.067669173
Median Absolute Deviation (MAD)0
Skewness-1.042273517
Sum2421
Variance5.781841539
2020-08-25T01:12:35.806762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
820050.1%
 
46115.3%
 
5358.8%
 
6317.8%
 
7225.5%
 
0225.5%
 
2184.5%
 
382.0%
 
120.5%
 
ValueCountFrequency (%) 
0225.5%
 
120.5%
 
2184.5%
 
382.0%
 
46115.3%
 
5358.8%
 
6317.8%
 
7225.5%
 
820050.1%
 
ValueCountFrequency (%) 
820050.1%
 
7225.5%
 
6317.8%
 
5358.8%
 
46115.3%
 
382.0%
 
2184.5%
 
120.5%
 
0225.5%
 

Feature09
Real number (ℝ≥0)

ZEROS

Distinct count6
Unique (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7318295739348373
Minimum0
Maximum5
Zeros40
Zeros (%)10.0%
Memory size3.2 KiB
2020-08-25T01:12:35.935796image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.599549061
Coefficient of variation (CV)0.4286232875
Kurtosis0.4196555993
Mean3.731829574
Median Absolute Deviation (MAD)1
Skewness-1.195846164
Sum1489
Variance2.558557197
2020-08-25T01:12:36.053816image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
519548.9%
 
39624.1%
 
44912.3%
 
04010.0%
 
2112.8%
 
182.0%
 
ValueCountFrequency (%) 
04010.0%
 
182.0%
 
2112.8%
 
39624.1%
 
44912.3%
 
519548.9%
 
ValueCountFrequency (%) 
519548.9%
 
44912.3%
 
39624.1%
 
2112.8%
 
182.0%
 
04010.0%
 

Feature30
Real number (ℝ≥0)

Distinct count15
Unique (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.997493734335839
Minimum0
Maximum14
Zeros1
Zeros (%)0.3%
Memory size3.2 KiB
2020-08-25T01:12:36.170768image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.9
Q113
median14
Q314
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.086687581
Coefficient of variation (CV)0.1605453808
Kurtosis12.05041136
Mean12.99749373
Median Absolute Deviation (MAD)0
Skewness-3.265050099
Sum5186
Variance4.35426506
2020-08-25T01:12:36.288076image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1423458.6%
 
1311528.8%
 
9123.0%
 
1192.3%
 
1061.5%
 
861.5%
 
741.0%
 
541.0%
 
1230.8%
 
610.3%
 
410.3%
 
310.3%
 
210.3%
 
110.3%
 
010.3%
 
ValueCountFrequency (%) 
010.3%
 
110.3%
 
210.3%
 
310.3%
 
410.3%
 
541.0%
 
610.3%
 
741.0%
 
861.5%
 
9123.0%
 
ValueCountFrequency (%) 
1423458.6%
 
1311528.8%
 
1230.8%
 
1192.3%
 
1061.5%
 
9123.0%
 
861.5%
 
741.0%
 
610.3%
 
541.0%
 

Feature25
Boolean

Distinct count2
Unique (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
1
238
0
161
ValueCountFrequency (%) 
123859.6%
 
016140.4%
 

Feature12
Real number (ℝ≥0)

Distinct count46
Unique (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.43609022556391
Minimum0
Maximum45
Zeros3
Zeros (%)0.8%
Memory size3.2 KiB
2020-08-25T01:12:36.414087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q128
median45
Q345
95-th percentile45
Maximum45
Range45
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15.6778274
Coefficient of variation (CV)0.4552731539
Kurtosis-0.171140462
Mean34.43609023
Median Absolute Deviation (MAD)0
Skewness-1.199030263
Sum13740
Variance245.7942721
2020-08-25T01:12:36.512000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4523057.6%
 
32276.8%
 
2164.0%
 
3153.8%
 
37143.5%
 
28133.3%
 
5123.0%
 
43102.5%
 
171.8%
 
661.5%
 
2241.0%
 
030.8%
 
1030.8%
 
1630.8%
 
420.5%
 
1520.5%
 
4420.5%
 
2020.5%
 
4110.3%
 
4010.3%
 
3910.3%
 
3810.3%
 
710.3%
 
910.3%
 
4210.3%
 
Other values (21)215.3%
 
ValueCountFrequency (%) 
030.8%
 
171.8%
 
2164.0%
 
3153.8%
 
420.5%
 
5123.0%
 
661.5%
 
710.3%
 
810.3%
 
910.3%
 
ValueCountFrequency (%) 
4523057.6%
 
4420.5%
 
43102.5%
 
4210.3%
 
4110.3%
 
4010.3%
 
3910.3%
 
3810.3%
 
37143.5%
 
3610.3%
 

Feature00
Real number (ℝ≥0)

ZEROS

Distinct count24
Unique (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.50375939849624
Minimum0
Maximum23
Zeros23
Zeros (%)5.8%
Memory size3.2 KiB
2020-08-25T01:12:36.618477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.5
median23
Q323
95-th percentile23
Maximum23
Range23
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation6.907818082
Coefficient of variation (CV)0.3733197094
Kurtosis1.297911858
Mean18.5037594
Median Absolute Deviation (MAD)0
Skewness-1.569184682
Sum7383
Variance47.71795066
2020-08-25T01:12:36.715214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2321954.9%
 
194611.5%
 
14348.5%
 
0235.8%
 
20174.3%
 
10153.8%
 
471.8%
 
2261.5%
 
551.3%
 
2151.3%
 
1830.8%
 
120.5%
 
220.5%
 
1320.5%
 
1220.5%
 
820.5%
 
620.5%
 
310.3%
 
910.3%
 
710.3%
 
1510.3%
 
1610.3%
 
1710.3%
 
1110.3%
 
ValueCountFrequency (%) 
0235.8%
 
120.5%
 
220.5%
 
310.3%
 
471.8%
 
551.3%
 
620.5%
 
710.3%
 
820.5%
 
910.3%
 
ValueCountFrequency (%) 
2321954.9%
 
2261.5%
 
2151.3%
 
20174.3%
 
194611.5%
 
1830.8%
 
1710.3%
 
1610.3%
 
1510.3%
 
14348.5%
 

Feature04
Real number (ℝ≥0)

Distinct count13
Unique (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.488721804511279
Minimum0
Maximum12
Zeros2
Zeros (%)0.5%
Memory size3.2 KiB
2020-08-25T01:12:36.820833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median10
Q312
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.79163289
Coefficient of variation (CV)0.2942053679
Kurtosis0.8916065234
Mean9.488721805
Median Absolute Deviation (MAD)2
Skewness-1.185455816
Sum3786
Variance7.793214191
2020-08-25T01:12:36.931230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1214235.6%
 
97619.0%
 
115213.0%
 
74411.0%
 
10235.8%
 
8133.3%
 
5123.0%
 
3112.8%
 
6102.5%
 
282.0%
 
430.8%
 
130.8%
 
020.5%
 
ValueCountFrequency (%) 
020.5%
 
130.8%
 
282.0%
 
3112.8%
 
430.8%
 
5123.0%
 
6102.5%
 
74411.0%
 
8133.3%
 
97619.0%
 
ValueCountFrequency (%) 
1214235.6%
 
115213.0%
 
10235.8%
 
97619.0%
 
8133.3%
 
74411.0%
 
6102.5%
 
5123.0%
 
430.8%
 
3112.8%
 

Feature16
Real number (ℝ≥0)

Distinct count7
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4335839598997495
Minimum0
Maximum6
Zeros1
Zeros (%)0.3%
Memory size3.2 KiB
2020-08-25T01:12:37.049474image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median5
Q35
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.225759917
Coefficient of variation (CV)0.2764715698
Kurtosis0.7452676112
Mean4.43358396
Median Absolute Deviation (MAD)0
Skewness-1.178305941
Sum1769
Variance1.502487374
2020-08-25T01:12:37.159297image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
521954.9%
 
45614.0%
 
64511.3%
 
2369.0%
 
3338.3%
 
192.3%
 
010.3%
 
ValueCountFrequency (%) 
010.3%
 
192.3%
 
2369.0%
 
3338.3%
 
45614.0%
 
521954.9%
 
64511.3%
 
ValueCountFrequency (%) 
64511.3%
 
521954.9%
 
45614.0%
 
3338.3%
 
2369.0%
 
192.3%
 
010.3%
 

Feature05
Real number (ℝ≥0)

Distinct count8
Unique (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.568922305764411
Minimum0
Maximum7
Zeros1
Zeros (%)0.3%
Memory size3.2 KiB
2020-08-25T01:12:37.266374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.729041502
Coefficient of variation (CV)0.3104804496
Kurtosis0.5871730935
Mean5.568922306
Median Absolute Deviation (MAD)1
Skewness-1.133992699
Sum2222
Variance2.989584514
2020-08-25T01:12:37.387781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
718646.6%
 
48721.8%
 
65614.0%
 
5399.8%
 
1215.3%
 
271.8%
 
320.5%
 
010.3%
 
ValueCountFrequency (%) 
010.3%
 
1215.3%
 
271.8%
 
320.5%
 
48721.8%
 
5399.8%
 
65614.0%
 
718646.6%
 
ValueCountFrequency (%) 
718646.6%
 
65614.0%
 
5399.8%
 
48721.8%
 
320.5%
 
271.8%
 
1215.3%
 
010.3%
 

Feature13
Real number (ℝ≥0)

ZEROS

Distinct count70
Unique (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.26065162907268
Minimum0
Maximum69
Zeros4
Zeros (%)1.0%
Memory size3.2 KiB
2020-08-25T01:12:37.709629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q123.5
median57
Q369
95-th percentile69
Maximum69
Range69
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation24.37525375
Coefficient of variation (CV)0.5157621174
Kurtosis-1.182338081
Mean47.26065163
Median Absolute Deviation (MAD)12
Skewness-0.6031363797
Sum18857
Variance594.1529956
2020-08-25T01:12:37.828594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6917443.6%
 
2153.8%
 
31133.3%
 
16123.0%
 
68123.0%
 
23123.0%
 
49123.0%
 
47123.0%
 
11112.8%
 
3892.3%
 
5582.0%
 
761.5%
 
461.5%
 
2061.5%
 
2551.3%
 
2241.0%
 
141.0%
 
041.0%
 
5841.0%
 
4230.8%
 
1030.8%
 
1430.8%
 
2130.8%
 
3230.8%
 
4030.8%
 
Other values (45)5213.0%
 
ValueCountFrequency (%) 
041.0%
 
141.0%
 
2153.8%
 
310.3%
 
461.5%
 
510.3%
 
610.3%
 
761.5%
 
810.3%
 
910.3%
 
ValueCountFrequency (%) 
6917443.6%
 
68123.0%
 
6710.3%
 
6610.3%
 
6510.3%
 
6410.3%
 
6310.3%
 
6210.3%
 
6110.3%
 
6010.3%
 

Feature11
Real number (ℝ≥0)

ZEROS

Distinct count6
Unique (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.568922305764411
Minimum0
Maximum5
Zeros11
Zeros (%)2.8%
Memory size3.2 KiB
2020-08-25T01:12:37.958943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.619490767
Coefficient of variation (CV)0.4537758539
Kurtosis-0.9530743044
Mean3.568922306
Median Absolute Deviation (MAD)1
Skewness-0.7360650338
Sum1424
Variance2.622750343
2020-08-25T01:12:38.064831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
517443.6%
 
48020.1%
 
16516.3%
 
2389.5%
 
3317.8%
 
0112.8%
 
ValueCountFrequency (%) 
0112.8%
 
16516.3%
 
2389.5%
 
3317.8%
 
48020.1%
 
517443.6%
 
ValueCountFrequency (%) 
517443.6%
 
48020.1%
 
3317.8%
 
2389.5%
 
16516.3%
 
0112.8%
 

Feature23
Real number (ℝ≥0)

Distinct count21
Unique (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.536340852130326
Minimum0
Maximum20
Zeros1
Zeros (%)0.3%
Memory size3.2 KiB
2020-08-25T01:12:38.180587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q118
median20
Q320
95-th percentile20
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.234247894
Coefficient of variation (CV)0.1744814643
Kurtosis14.11209601
Mean18.53634085
Median Absolute Deviation (MAD)0
Skewness-3.629829026
Sum7396
Variance10.46035944
2020-08-25T01:12:38.293291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2024461.2%
 
189824.6%
 
19194.8%
 
1661.5%
 
1351.3%
 
1441.0%
 
341.0%
 
1530.8%
 
1220.5%
 
920.5%
 
420.5%
 
510.3%
 
110.3%
 
210.3%
 
1010.3%
 
610.3%
 
710.3%
 
810.3%
 
1110.3%
 
1710.3%
 
010.3%
 
ValueCountFrequency (%) 
010.3%
 
110.3%
 
210.3%
 
341.0%
 
420.5%
 
510.3%
 
610.3%
 
710.3%
 
810.3%
 
920.5%
 
ValueCountFrequency (%) 
2024461.2%
 
19194.8%
 
189824.6%
 
1710.3%
 
1661.5%
 
1530.8%
 
1441.0%
 
1351.3%
 
1220.5%
 
1110.3%
 

Feature01
Real number (ℝ≥0)

ZEROS

Distinct count32
Unique (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.325814536340854
Minimum0
Maximum31
Zeros12
Zeros (%)3.0%
Memory size3.2 KiB
2020-08-25T01:12:38.416690image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median31
Q331
95-th percentile31
Maximum31
Range31
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.9015691
Coefficient of variation (CV)0.533085549
Kurtosis-0.899610476
Mean22.32581454
Median Absolute Deviation (MAD)0
Skewness-0.9061413434
Sum8908
Variance141.647347
2020-08-25T01:12:38.525708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3123057.6%
 
14611.5%
 
23266.5%
 
0123.0%
 
11112.8%
 
10102.5%
 
12102.5%
 
771.8%
 
461.5%
 
351.3%
 
3030.8%
 
1830.8%
 
2030.8%
 
2830.8%
 
2930.8%
 
2120.5%
 
1620.5%
 
2220.5%
 
220.5%
 
810.3%
 
510.3%
 
610.3%
 
2710.3%
 
1310.3%
 
910.3%
 
Other values (7)71.8%
 
ValueCountFrequency (%) 
0123.0%
 
14611.5%
 
220.5%
 
351.3%
 
461.5%
 
510.3%
 
610.3%
 
771.8%
 
810.3%
 
910.3%
 
ValueCountFrequency (%) 
3123057.6%
 
3030.8%
 
2930.8%
 
2830.8%
 
2710.3%
 
2610.3%
 
2510.3%
 
2410.3%
 
23266.5%
 
2220.5%
 

Feature02
Real number (ℝ≥0)

ZEROS

Distinct count10
Unique (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1002506265664165
Minimum0
Maximum9
Zeros15
Zeros (%)3.8%
Memory size3.2 KiB
2020-08-25T01:12:38.633959image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median6
Q39
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.660897747
Coefficient of variation (CV)0.4361948238
Kurtosis-0.747870293
Mean6.100250627
Median Absolute Deviation (MAD)3
Skewness-0.5047607702
Sum2434
Variance7.080376821
2020-08-25T01:12:38.741649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
912832.1%
 
511027.6%
 
7338.3%
 
2338.3%
 
8307.5%
 
3235.8%
 
6153.8%
 
0153.8%
 
482.0%
 
141.0%
 
ValueCountFrequency (%) 
0153.8%
 
141.0%
 
2338.3%
 
3235.8%
 
482.0%
 
511027.6%
 
6153.8%
 
7338.3%
 
8307.5%
 
912832.1%
 
ValueCountFrequency (%) 
912832.1%
 
8307.5%
 
7338.3%
 
6153.8%
 
511027.6%
 
482.0%
 
3235.8%
 
2338.3%
 
141.0%
 
0153.8%
 

Feature26
Categorical

Distinct count3
Unique (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
0
199
1
116
2
84
ValueCountFrequency (%) 
019949.9%
 
111629.1%
 
28421.1%
 
2020-08-25T01:12:38.883670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Overview of Unicode Properties

Unique unicode characters3
Unique unicode categories (?)1
Unique unicode scripts (?)1
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
019949.9%
 
111629.1%
 
28421.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number399100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
019949.9%
 
111629.1%
 
28421.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Common399100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
019949.9%
 
111629.1%
 
28421.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII399100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
019949.9%
 
111629.1%
 
28421.1%
 

target
Real number (ℝ≥0)

Distinct count5
Unique (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.218045112781955
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size3.2 KiB
2020-08-25T01:12:39.000078image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.287775999
Coefficient of variation (CV)0.4001733828
Kurtosis-1.074597752
Mean3.218045113
Median Absolute Deviation (MAD)1
Skewness-0.1500339814
Sum1284
Variance1.658367023
2020-08-25T01:12:39.106611image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
49624.1%
 
39523.8%
 
28320.8%
 
58120.3%
 
14411.0%
 
ValueCountFrequency (%) 
14411.0%
 
28320.8%
 
39523.8%
 
49624.1%
 
58120.3%
 
ValueCountFrequency (%) 
58120.3%
 
49624.1%
 
39523.8%
 
28320.8%
 
14411.0%
 

Interactions

2020-08-25T01:11:52.048360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:52.207836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:52.351569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:52.495770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:52.647511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:52.787497image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:52.938367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:53.075155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:53.212936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:53.355884image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:53.499882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:53.646282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:53.803793image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:53.942647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:54.096447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:54.239146image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:54.372998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:54.521165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:54.662035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:54.794029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:55.112868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:55.253248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:55.384271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:55.522843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:55.650012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:55.778601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:55.914936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:56.048995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:56.188087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:56.326147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:56.455575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:56.599675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:56.733962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:56.859977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:57.000937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:57.166017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:57.338796image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:57.476274image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:57.646582image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:57.786462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:57.925074image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:58.052425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:58.180516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:58.314877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:58.447530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:58.583443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:58.721622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:58.864297image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:59.018716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:59.161448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:59.500771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:59.644979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:59.797212image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:11:59.940490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:00.085127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:00.236661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:00.377182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:00.523916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:00.660548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:00.801588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:00.944822image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:01.088492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:01.236851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:01.397460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:01.539451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:01.695444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:01.842939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:01.979817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:02.133391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:02.271981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:02.401540image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:02.532938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:02.668495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:02.796204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:02.930237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:03.052169image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:03.175623image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:03.307976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:03.441508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:03.771832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:03.916398image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:04.044749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:04.187713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:04.320048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:04.445952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:04.588830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:04.738924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:04.884923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:05.028779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:05.175659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:05.314061image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:05.457350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:05.593073image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:05.726765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:05.874252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:06.024068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:06.177324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:06.326998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:06.461905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:06.610746image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:06.748950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:06.882905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:07.030661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:07.162018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:07.286162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:07.411512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:07.543097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:07.663191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:07.795890image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:08.114152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:08.233155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:08.355842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:08.479394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:08.606544image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:08.734851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:08.861655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:08.996196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:09.124179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:09.242771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:09.377146image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:09.508775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:09.632908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:09.757348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:09.890648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:10.014910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:10.143976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:10.261857image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:10.378283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:10.503630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:10.626534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:10.752900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:10.882419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:11.004142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:11.136784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:11.260895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:11.378358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:11.511461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:11.653158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:11.785240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:11.919319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:12.252976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:12.381953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:12.519714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:12.646881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:12.773329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:12.907518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:13.043130image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:13.182141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:13.322127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:13.453688image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:13.597833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:13.732171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:13.876834image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:14.022245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:14.163320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:14.297980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:14.432340image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:14.574787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:14.705265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:14.849954image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:14.984043image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:15.111214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:15.246020image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:15.379916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:15.518500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:15.657079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:15.787371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:15.932306image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:16.070185image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:16.201231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:16.524747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:16.667479image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:16.804341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:16.941279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:17.086286image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:17.220859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:17.362426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:17.496372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:17.629691image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:17.772218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:17.916699image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:18.068554image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:18.214292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:18.355374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:18.506295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:18.649261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:18.790794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:18.940708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:19.088488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:19.228167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:19.368090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:19.518955image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:19.656421image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:19.799837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:19.932533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:20.083855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:20.233306image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:20.380824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:20.529983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:20.881503image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:21.019958image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:21.170545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:21.310436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:21.442590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:21.592573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:21.730836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:21.862972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:21.991279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:22.129424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:22.259098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:22.391353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:22.517476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:22.641146image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:22.773302image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:22.911252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:23.045439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:23.188123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:23.314052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:23.453188image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:23.584296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:23.709055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:23.856308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:24.011304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:24.164558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:24.312248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:24.464963image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:24.613501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:24.767746image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:24.908820image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:25.250844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:25.405032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:25.551126image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:25.702121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:25.852916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:26.002296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:26.160132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:26.309569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:26.449632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:26.605998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:26.750566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:26.885915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:27.023059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:27.164998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:27.297673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:27.437078image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:27.567883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:27.696710image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:27.832344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:27.966938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:28.109249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:28.250654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:28.379829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:28.524853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:28.657867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:28.789573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:28.932704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:29.064883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:29.189493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:29.314489image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:29.634642image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:29.759258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:29.887802image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:30.006058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:30.125790image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:30.252897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:30.377461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:30.525116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:30.658528image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:30.780766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:30.913298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:31.038489image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:31.155329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:31.289311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:31.443311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:31.589852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:31.737224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:31.896062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:32.040740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:32.191794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:32.335739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:32.478236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:32.626623image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:32.774103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:32.931659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:33.093363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:33.244040image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:33.404201image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:33.555454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:33.696988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:12:39.265545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:12:39.604410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:12:39.937711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:12:40.274538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:12:34.219413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:12:34.723213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

Feature29Feature15Feature24Feature17Feature08Feature09Feature30Feature25Feature12Feature00Feature04Feature16Feature05Feature13Feature11Feature23Feature01Feature02Feature26target
0861685141451412676952031925
1861675141452311576952031814
2861665141452310576951931713
375058513128191247474201902
4761685121451012376951831902
5861665141452310576951931714
685058514132191247493201922
77405851312191247234201902
864048513145012271122011904
9861675141452311576952031814

Last rows

Feature29Feature15Feature24Feature17Feature08Feature09Feature30Feature25Feature12Feature00Feature04Feature16Feature05Feature13Feature11Feature23Feature01Feature02Feature26target
389740144131431012372212027303
39055114414039231257912031304
39165054413042312572832031302
3926501441303237542632031602
3933606447045237546952031601
394650144130223754202031605
39586063414145236546952031415
39686063414145236546952031413
39786063414045236546952031411
39886063414045236546952031413

Duplicate rows

Most frequent

Feature29Feature15Feature24Feature17Feature08Feature09Feature30Feature25Feature12Feature00Feature04Feature16Feature05Feature13Feature11Feature23Feature01Feature02Feature26targetcount
2183138514137141267311202392513
127403851315141267162202390512
13740585131219124723420190212
167505851312819124747420190212
238505851413219124749320192212
76404851314501227112201190411
3086165014145231151695203121511
2284038514145101237681181092310
255128591322012273812009049
428616751414523115769520318149